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1# Copyright 2021 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15# """test_confusion_matrix"""
16import numpy as np
17import pytest
18from mindspore import Tensor
19from mindspore.nn.metrics import ConfusionMatrix
20
21
22def test_confusion_matrix():
23    """test_confusion_matrix"""
24    x = Tensor(np.array([1, 0, 1, 0]))
25    y = Tensor(np.array([1, 0, 0, 1]))
26    metric = ConfusionMatrix(num_classes=2)
27    metric.clear()
28    metric.update(x, y)
29    output = metric.eval()
30
31    assert np.allclose(output, np.array([[1, 1], [1, 1]]))
32
33
34def test_confusion_matrix_update_len():
35    x = Tensor(np.array([[0.2, 0.5, 0.7], [0.3, 0.1, 0.2], [0.9, 0.6, 0.5]]))
36    metric = ConfusionMatrix(num_classes=2)
37    metric.clear()
38
39    with pytest.raises(ValueError):
40        metric.update(x)
41
42
43def test_confusion_matrix_update_dim():
44    x = Tensor(np.array([[0.2, 0.5, 0.7], [0.3, 0.1, 0.2], [0.9, 0.6, 0.5]]))
45    y = Tensor(np.array([1, 0]))
46    metric = ConfusionMatrix(num_classes=2)
47    metric.clear()
48
49    with pytest.raises(ValueError):
50        metric.update(x, y)
51
52
53def test_confusion_matrix_init_num_classes():
54    with pytest.raises(TypeError):
55        ConfusionMatrix(num_classes='1')
56
57
58def test_confusion_matrix_init_normalize_value():
59    with pytest.raises(ValueError):
60        ConfusionMatrix(num_classes=2, normalize="wwe")
61
62
63def test_confusion_matrix_init_threshold():
64    with pytest.raises(TypeError):
65        ConfusionMatrix(num_classes=2, normalize='no_norm', threshold=1)
66
67
68def test_confusion_matrix_runtime():
69    metric = ConfusionMatrix(num_classes=2)
70    metric.clear()
71
72    with pytest.raises(RuntimeError):
73        metric.eval()
74